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A novel fault classification method based on neural network in smart grid

International Journal of Electrical engineering 2018年第1期25卷 1-7页

作者： Zhang, Tong Sun, Lanxiang Liu, Jianchang Yu, Haibin College of Information Science and Engineering Northeastern University Shenyang China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control System CAS Shenyang China University of Chinese Academy of Sciences Beijing China

This paper presents a back propagation (BP) neural network method to identify fault types and phases in the smart grid with renewable sources. A fault classification method based on the BP neural network is used to identify patterns of voltage and current measured with phasor measurement unit (PMU). The voltage and current values are decomposed, and then they are used as the input matrix of the BP neural network, which identifies the fault type and fault phasor. All the common short-circuit faults occurred are analyzed, BP neural network method is proposed for fault classification in a power active distribution network. Simulation results show feasibility and usefulness of the BP neural network method, which provides good classification performances.

关键词： Smart power grids

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Predictive control for Continuous Stirred Tank Reactors

Predictive Control for Continuous Stirred Tank Reactors

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2019 International Conference on Informatics, control and Robotics 2019信息学、控制和机器人学国际会议(ICICR2019)

作者： Ioana NASCU Ioan NASCU Wen-li DU Sai GU Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Department of Chemical and Process Engineering University of Surrey Department of Automation Technical University of Cluj-Napoca

The paper focuses on the implementation of a model based predictive control(MBPC) method, for Continuous Stirred Tank Reactors. First, the modelling problem of a single irreversible exothermic reaction, taking place in a perfectly mixed continuously stirred tank reactor(CSTR) is presented. The dynamic model consists of differential material and energy balance equations. The control strategy is investigated and evaluated by performing simulations and analyzing the results. The disturbance rejection capacity of the control system(regulatory control performances) have been tested and compared with those obtained using a classical Proportional Integral Derivative(PID) based controller. The results show that this control strategy has good performances and can be efficiently used to control the CSTR.

关键词： Predictive control PID control Chemical reactor process model

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Pulp concentration control based on dynamic matrix control

Pulp concentration control based on dynamic matrix control

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Chinese Intelligent Systems Conference, CISC 2017

作者： Hao, Wen Dong, Jie Peng, Kaixiang Jia, Mengqi Wang, Qiang Key Laboratory for Advanced Control of Iron and Steel Process of Ministry of Education Beijing100083 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China

ISBN: (纸本)9789811064982

In the papermaking industry, the stability of the pulp concentration determines the quality of the paper. However, the change of the pulp concentration is in a state of fluctuation for a long time and the pulp concentration control system has the characteristics of large lag, non-linearity and time-varying. It is difficult to achieve the desired control effect by using the traditional PID controller in the concentration control process. Therefore, use of dynamic matrix control algorithm to design the controller can solve the problem of disturbance and modeling complexity. In this paper, dynamic matrix control algorithm and PID control simulation results show that the dynamic matrix control algorithm has better control quality. The output satisfies the constraint limit with higher probability, and the output constraints and performance index can be met. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Three term control systems

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Distributed Optimization of Nonlinear Multi-Agent Systems: A Small-Gain Approach

Distributed Optimization of Nonlinear Multi-Agent Systems: A...

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IEEE Annual Conference on Decision and control

作者： Tengfei Liu Zhengyan Qin Yiguang Hong Zhong-Ping Jiang State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China Laboratory of Systems and Control Chinese Academy of Sciences Beijing China Tandon School of Engineering New York University Brooklyn NY USA

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

This paper studies the distributed optimal output agreement problem for multi-agent systems described by uncertain nonlinear models. By using partial information of an objective function, the design aims to steer the outputs of the agents to an agreement on the optimal solution to the objective function. To solve this problem, this paper introduces distributed coordinators to calculate the ideal outputs, and designs reference-tracking controllers for the agents to follow the ideal outputs. To deal with the nonlinear uncertain dynamics, the closed-loop multi-agent system is considered as a dynamical network, and Sontag's input-to-state stability (ISS) properties are employed to characterize the interconnections. It is shown that output agreement in multi-agent nonlinear systems is achievable by means of distributed optimal coordinators via a small-gain approach. Numerical simulations are employed to show the effectiveness of the design.

关键词： Multi-agent systems Linear programming Optimization Robustness Nonlinear dynamical systems Stability analysis Convergence

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Delay Robustness of Second-Order Uncertain Nonlinear Delay Systems under PID control*

Delay Robustness of Second-Order Uncertain Nonlinear Delay S...

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control Technology and Applications (CCTA),

作者： Zexi Lu Dan Ma Juan Wang College of Information Science and Engineering State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang P. R. China College of Information and Control Engineering Shenyang Jianzhu University Shenyang P. R. China

This paper studies the delay robustness problem for tracking control of second-order systems subject to unknown input delay and uncertain nonlinearity under PID control. The basic issue is to find the largest allowable input delay under PID control can achieve robust tracking in spite of the uncertain nonlinearity. First, the uncertain nonlinear delay system under PID control can be transferred into a delay system with time-varying uncertainty. Second, we develop the largest allowable time delay under fixed PID controller parameters by solving the generalized eigenvalue problem (GEVP). Third, a genetic algorithm (GA) is proposed to achieve the largest allowable delay and the corresponding PID parameters, which consists with the solutions under GEVP. The first-order uncertain nonlinear delay systems under PI control is investigated as well. Finally, two examples are given to show the effectiveness of the proposed method.

关键词： Delays Robustness PI control PD control Delay effects Delay systems Symmetric matrices

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Notice of Retraction: Adaptive Decentralized Tracking control for Nonlinear Large-Scale Systems

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International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2021年第5期29卷 789-789页

作者： Karthik Chandran Weidong Zhang Rajalakshmi Murugesan S. Prasanna A. Baseera Sanjeevi Pandiyan Department of Automation Shanghai Jiao Tong University Shanghai China Department of Mechatronics Jyothi Engineering College Thrissur India Department of EEE Ultra College of Engineering and Technology India School of Information Technology and Engineering VIT Vellore India School of Computing Science and Engineering VIT Bhopal University India Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi 214122 China

This article has been retracted at the request of the first and corresponding author, Dr. Karthik Chandran. The author has alerted the Editor-in-Chief of IJUFKS the reasons for the retraction: The proposed system was modelled with the incorrect data set. The system response has become incorrect because of this incorrect data set. Two percent of the information (mathematical assumptions) was taken from one paper without proper citation of the source.

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Numerical detection of Gaussian entanglement and its application to the identification of bound entangled Gaussian states

arXiv

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arXiv 2020年

作者： Ma, Shan Xue, Shibei Guo, Yu Shu, Chuan-Cun School of Automation Central South University Changsha410083 China Peng Cheng Laboratory Shenzhen518000 China Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Hunan Provincial Key Laboratory of Flexible Electronic Materials Genome Engineering School of Physics and Electronic Science Changsha University of Science and Technology Changsha410114 China Hunan Key Laboratory of Super-Microstructure and Ultrafast Process School of Physics and Electronics Central South University Changsha410083 China

We present a numerical method for solving the separability problem of Gaussian quantum states in continuous-variable quantum systems. We show that the separability problem can be cast as an equivalent problem of determining the feasibility of a set of linear matrix inequalities. Thus, it can be efficiently solved using existent numerical solvers. We apply this method to the identification of bound entangled Gaussian states. We show that the proposed method can be used to identify bound entangled Gaussian states that could be simple enough to be producible in quantum optics. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum optics

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Challenges and solutions in automotive powertrain systems

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Journal of control and Decision 2018年第1期5卷 61-93页

作者： Tielong Shen Mingxin Kang Jinwu Gao Jiangyan Zhang Yuhu Wu Department of Engineering and Applied Sciences Sophia UniversityTokyoJapan State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyangP.R.China State Key Laboratory of Automobile Simulation and Control Jilin UniversityChangchunP.R.China College of Mechanical and Electronic Engineering Dalian Minzu UniversityDalianP.R.China School of Control Science and Engineering Dalian University of TechnologyDalianP.R.China

Automotive powertrain mainly consisting of combustion engine,motor and battery(*** for hybrid powertrain)is a very complicated integration system,and the research on the automotive powertrain control techniques remains hot-spot in past *** paper proposes some challenging issues and control solutions of automotive powertrain system from the perspective of the dynamic system *** typical characteristics of automotive powertrain system are analysed for control development,and the several control applications using model-based and model-free control design are demonstrated with sufficient experimental *** addition,some open issues for future powertrain control development are summarised.

关键词： Model-based control model-free control combustion engine automotive powertrain control technology

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Thermometry of photosensitive and optically induced electrokinetics chips

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Microsystems & Nanoengineering 2018年第1期4卷 190-198页

作者： Feifei Wang Lianqing Liu Gongxin Li Pan Li Yangdong Wen Guanglie Zhang Yuechao Wang Gwo-Bin Lee Wen Jung Li State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of Sciences110016 ShenyangChina University of Chinese Academy of Sciences 100049 BeijingChina Shenzhen Academy of Robotics 518057 ShenzhenChina Key Laboratory of Advanced Process Control for Light Industry of the Ministry of Education Institute of AutomationJiangnan University214122 WuxiChina Department of Power Mechanical Engineering National Tsing Hua University30013 HsinchuTaiwan Department of Mechanical and Biomedical Engineering City University of Hong KongKowloon TongHong KongChina

Optically induced electrokinetics(OEK)-based technologies,which integrate the high-resolution dynamic addressability of optical tweezers and the high-throughput capability of electrokinetic forces,have been widely used to manipulate,assemble,and separate biological and non-biological entities in parallel on scales ranging from micrometers to ***,simultaneously introducing optical and electrical energy into an OEK chip may induce a problematic temperature increase,which poses the potential risk of exceeding physiological conditions and thus inducing variations in cell behavior or activity or even irreversible cell damage during ***,we systematically measure the temperature distribution and changes in an OEK chip arising from the projected images and applied alternating current(AC)voltage using an infrared *** have found that the average temperature of a projected area is influenced by the light color,total illumination area,ratio of lighted regions to the total controlled areas,and amplitude of the AC *** an example,optically induced thermocapillary flow is triggered by the light image-induced temperature gradient on a photosensitive substrate to realize fluidic hydrogel *** studies show that the projected light pattern needs to be properly designed to satisfy specific application requirements,especially for applications related to cell manipulation and assembly.

关键词： exceeding illumination manipulation

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Temporal-spatial cross-correlation analysis of non-stationary near-surface wind speed time series

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Journal of Central South University 2017年第3期24卷 692-698页

作者： ZENG Ming LI Jing-hai MENG Qing-hao ZHANG Xiao-nei Institute of Robotics and Autonomous Systems Tianjin Key Laboratory of Process Measurement and Control （School of Electrical Automation and Information Engineering Tianjin University） Tianjin 300072 China

Temporal-spatial cross-correlation analysis of non-stationary wind speed time series plays a crucial role in wind field reconstruction as well as in wind pattern ***,the near-surface wind speed time series recorded at different locations are studied using the detrended fluctuation analysis(DFA),and the corresponding scaling exponents are larger than *** indicates that all these wind speed time series have non-stationary ***,concerning this special feature( i.e.,non-stationarity)of wind signals,a cross-correlation analysis method,namely detrended cross-correlation analysis(DCCA) coefficient,is employed to evaluate the temporal-spatial cross-correlations between non-stationary time series of different anemometer ***,experiments on ten wind speed data synchronously collected by the ten anemometers with equidistant arrangement illustrate that the method of DCCA cross-correlation coefficient can accurately analyze full-scale temporal-spatial cross-correlation between non-stationary time series and also can easily identify the seasonal component,while three traditional cross-correlation techniques(i.e.,Pearson coefficient,cross-correlation function,and DCCA method) cannot give us these information directly.

关键词： temporal-spatial cross-correlation near-surface wind speed time series detrended cross-correlation analysis （DCCA） cross-correlation coefficient Pearson coefficient cross-correlation function

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